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An Intelligent Voice-Based eMarketplace for Visually Impaired People
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作者 Fahad Algarni yen cheung Vincent Lee 《Journal of Software Engineering and Applications》 2013年第3期91-96,共6页
Today eMarketplaces play a significant role in contemporary life by providing a lot of income and business opportunities to people and organizations throughout the world. Despite innovations in the field of IT, many o... Today eMarketplaces play a significant role in contemporary life by providing a lot of income and business opportunities to people and organizations throughout the world. Despite innovations in the field of IT, many of eMarketplaces lack the ability to provide appropriate services for people with special needs, especially the blind.? Therefore, this paper is focused on incorporating an interface for blind people to participate in the business of eMarketplaces. A proposed model of a voice-based eMarketplace has been introduced using voice recognition technology. Specific blind users of the system are uniquely identified using voice recognition technology to enable them to access the eMarketplace in a secure manner. Further work of this project involves building such as module on an existing eMarketplace. 展开更多
关键词 eMarketplaces VOICE RECOGNITION Visually IMPAIRED PEOPLE ECOMMERCE Web ACCESSIBILITY
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Conceptualizing Mining of Firm's Web Log Files 被引量:1
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作者 Ruangsak TRAKUNPHUTTHIRAK yen cheung Vincent C.S.LEE 《Journal of Systems Science and Information》 CSCD 2017年第6期489-510,共22页
In this era of a data-driven society, useful data(Big Data) is often unintentionally ignored due to lack of convenient tools and expensive software. For example, web log files can be used to identify explicit informat... In this era of a data-driven society, useful data(Big Data) is often unintentionally ignored due to lack of convenient tools and expensive software. For example, web log files can be used to identify explicit information of browsing patterns when users access web sites. Some hidden information,however, cannot be directly derived from the log files. We may need external resources to discover more knowledge from browsing patterns. The purpose of this study is to investigate the application of web usage mining based on web log files. The outcome of this study sets further directions of this investigation on what and how implicit information embedded in log files can be efficiently and effectively extracted. Further work involves combining the use of social media data to improve business decision quality. 展开更多
关键词 web usage mining web log files Big Data machine learning business intelligence
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